The study quantifies liquidity impacts measured by the Demand-Supply Gap in terms of asset pricing implications for US private commercial real estate markets of the COVID-19 crisis. So far (using data up to April 2020), New York is hardest hit among the eight metros examined, with a predicted...

We study the external impact of foreclosures, exploring how foreclosed properties affect the liquidity of nearby homes. Empirically, we find a foreclosure increases a nearby home's time-on-market by approximately 30%, on average, which is primarily driven by a disamenity effect. There is...

We show that profit-seeking institutional investors can provide valuable liquidity and spur the recovery of distressed housing markets. Using a quasi-natural experiment wherein investors purchased pre-packaged distressed home portfolios from the government-sponsored enterprises, we find that...

Empirical studies on the tokenization of real asset markets are necessary to better understand the potential and limitations of this radically new organization of financial markets. We examine the financial economic consequences of the tokenization of 58 residential rental properties in the...

I study the effects of an increase in the supply of local mortgage credit on local house prices and employment by exploiting a natural experiment from Switzerland. In mid-2008, losses in U.S. security holdings triggered a migration of dissatisfied retail customers from a large, universal bank,...

I study the effects of an increase in the supply of local mortgage credit on local house prices and employment by exploiting a natural experiment from Switzerland. Losses in U.S. security holdings triggered a migration of dissatified retail customers from a large, universal bank (UBS) to...

Employing a generalized Hamiltonian Monte Carlo Bayesian procedure we develop a new measure of real estate uncertainty that explicitly encapsulates conditional stochastic volatility and noise. When applied to commercial real estate (CRE) markets, results of Vector Autoregressive (VAR) modeling...

In this paper we introduce a generalizable method to estimate daily risk decompositions of default, interest rate, liquidity and excess liquidity from previously simulated reduced form monthly risk decompositions. Our method generates these measures for CMBX. To assess liquidity estimates, we...

Recent research has shown that macroeconomic uncertainty is a significant factor that is contemporaneously incorporated into asset returns. Therefore, it should not have a role in predicting future returns. At the same time, separate research has demonstrated that illiquidity is related to...

We present a unique approach to investigate how factors of funding liquidity and market liquidity in news stories can influence housing price. By text mining, we are able to identify factors of funding liquidity and market liquidity in news. This paper provides evidence on the interaction...